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GECCO
2007
Springer
144views Optimization» more  GECCO 2007»
15 years 2 months ago
Mixing independent classifiers
In this study we deal with the mixing problem, which concerns combining the prediction of independently trained local models to form a global prediction. We deal with it from the ...
Jan Drugowitsch, Alwyn Barry
ICML
2005
IEEE
15 years 11 months ago
Relating reinforcement learning performance to classification performance
We prove a quantitative connection between the expected sum of rewards of a policy and binary classification performance on created subproblems. This connection holds without any ...
John Langford, Bianca Zadrozny
SODA
2004
ACM
111views Algorithms» more  SODA 2004»
15 years 5 days ago
Fast mixing for independent sets, colorings and other models on trees
We study the mixing time of the Glauber dynamics for general spin systems on bounded-degree trees, including the Ising model, the hard-core model (independent sets) and the antife...
Fabio Martinelli, Alistair Sinclair, Dror Weitz
ISCAS
2005
IEEE
214views Hardware» more  ISCAS 2005»
15 years 4 months ago
Blind separation of statistically independent signals with mixed sub-Gaussian and super-Gaussian probability distributions
— In the context of Independent Component Analysis (ICA), we propose a simple method for online estimation of activation functions in order to blindly separate instantaneous mixt...
Muhammad Tufail, Masahide Abe, Masayuki Kawamata